sys:1: DtypeWarning: Columns (32) have mixed types.Specify dtype option on import or set low_memory=False.
Traceback (most recent call last):
  File "pandas\_libs\lib.pyx", line 2062, in pandas._libs.lib.maybe_convert_numeric
ValueError: Unable to parse string "            0,000"

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\Digital Wholesale - Documents\2. Amazon\Customer Operations_OTC\02. Amazon weekly Report\Amazon weekly automation (Giorgi)\VL.py", line 29, in <module>
    'Net Unit Price','Confirmed Net Value (SL)','Dollars Shipped (SL)','% Shipped/Allocated (SL)']] =df[['Order Qty (SL)','Confirmed Qty (SL)','Unconfirmed Qty (SL)',
  File "C:\Users\gobro7\AppData\Local\Programs\Python\Python39\lib\site-packages\pandas\core\frame.py", line 7768, in apply
    return op.get_result()
  File "C:\Users\gobro7\AppData\Local\Programs\Python\Python39\lib\site-packages\pandas\core\apply.py", line 185, in get_result
    return self.apply_standard()
  File "C:\Users\gobro7\AppData\Local\Programs\Python\Python39\lib\site-packages\pandas\core\apply.py", line 276, in apply_standard
    results, res_index = self.apply_series_generator()
  File "C:\Users\gobro7\AppData\Local\Programs\Python\Python39\lib\site-packages\pandas\core\apply.py", line 290, in apply_series_generator
    results[i] = self.f(v)
  File "C:\Users\gobro7\AppData\Local\Programs\Python\Python39\lib\site-packages\pandas\core\tools\numeric.py", line 154, in to_numeric
    values = lib.maybe_convert_numeric(
  File "pandas\_libs\lib.pyx", line 2099, in pandas._libs.lib.maybe_convert_numeric
ValueError: Unable to parse string "            0,000" at position 1

Process finished with exit code 1